Data Scientist

Why Eurobank?

Are you enthusiastic about having a positive impact and working with a great team?

Join us at Eurobank where Prosperity needs Pioneers! You will belong in a banking community that drives innovation, strives to exceed customers’ expectations, commits to sustainable practices, and combines global insights with local expertise to deliver exceptional value to all our stakeholders. Take advantage of multiple learning & development opportunities, flexible work arrangements, and a workplace where you will feel valued and respected!

But hold on! We’re looking for more than just a great CV: We’re looking for your unique personality.

Apply today and be part of a team as unique as you!

Position Overview

We are seeking a dynamic Data Scientist to join our team.

By joining this role, you will act as the link between business needs and data, translating business challenges into advanced analytics and AI solutions that create measurable value. You will leverage structured and unstructured data to uncover insights, support decision-making and develop innovative solutions using Machine Learning, Artificial Intelligence and Generative AI technologies.

Your key responsibilities will be:

• Translate business requirements and challenges into advanced analytics, Machine Learning and AI solutions that drive business value and support data-driven decision-making.
• Develop a deep understanding of business processes and identify relevant structured and unstructured data sources to uncover insights, identify opportunities and create scalable analytical assets.
• Design, develop, evaluate and optimize statistical models, predictive analytics solutions and Machine Learning models, selecting the most appropriate analytical approach for each business problem.
• Explore, develop and implement Generative AI use cases leveraging Large and Small Language Models (LLMs/SLMs), embeddings, prompt engineering, Retrieval-Augmented Generation (RAG), AI agents and related technologies.
• Contribute to the end-to-end lifecycle of analytical and AI solutions, including deployment, monitoring, evaluation and continuous improvement within cloud-based environments, preferably Microsoft Azure.
• Collaborate closely with business stakeholders to embed analytics and AI solutions into business processes, ensuring tangible, measurable and sustainable business impact.

You will be a great candidate if you:

• Have at least 2 years of relevant professional experience in Data Science, Advanced Analytics, Machine Learning, Artificial Intelligence or related consulting and business environments.
• Hold a Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, Economics or a related quantitative discipline.
• Demonstrate strong knowledge of statistical modelling, predictive analytics, Machine Learning techniques, experimentation methodologies and model evaluation practices.
• Possess excellent Python programming skills and hands-on experience with data science and Machine Learning frameworks, as well as working with large and complex datasets.
• Have hands-on familiarity with Generative AI technologies, including Large and Small Language Models (LLMs/SLMs), prompt engineering, embeddings and Retrieval-Augmented Generation (RAG). Experience developing GenAI applications or AI agents will be considered a strong asset.
• Have familiarity with cloud-based data and AI platforms, preferably Microsoft Azure, and a solid understanding of AI solution deployment, monitoring and MLOps/LLMOps principles.
• Demonstrate strong business acumen and the ability to translate business challenges into actionable analytical insights and AI-enabled solutions.
• Are fluent in English, both written and verbal.
• Possess strong analytical thinking, problem-solving, communication and stakeholder management skills, combined with a collaborative mindset and passion for innovation.

What’s in it for you:

• Competitive remuneration.
• Hybrid work: work-life balance through remote and in-office work.
• Learning & Development:

• • Access Unlimited LinkedIn Learnings, international training methodologies
  • Upskilling, Professional development and career guidance from successful executives.
  • Identification and Utilization of Talent Pool through a structured Talent Management process.

• Wellbeing:

• • Premium Health & Life insurance for you, your partner and/or your family and mental health support.
  • 25 Days off from day one, plus potential extra days through our Winter Bonus scheme
  • Pension plan to support your plans and future financial expectations.
  • Team building & wellbeing activities.
  • Potential Extra days of annual leave (Winter Bonus).
  • Engage in volunteering activities through our TeamUp program.

• Extra Benefits:

• • Exclusive discounts at partner stores.
  • Staff pricing for banking products.
  • Nursery and summer camp allowance for your little ones.

Join us!

If you think you are the right fit for this role, we'd like to hear from you! Apply by 06/11/2026

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At Eurobank we are committed to providing equal employment opportunities and prohibit all forms of discrimination. All applicants will be treated fairly and with the utmost confidentiality.